DeepSeek DeepEP
DeepEP is a specialized communication library designed specifically for Mixture-of-Experts (MoE) models and expert parallelism (EP)
Features
Prompt Engineering Tips: Unleashing the Power of Mixture of Experts
To fully leverage DeepSeek's Mixture of Experts (MoE) model, explicitly tell it which expert roles you want it to assume when answering your questions. Here are some effective prompting strategies.
Expert Team Strategy
Specify a team of experts from different domains to get responses from multiple professional perspectives.
Example:
Assume you are a team of experts consisting of: 1. Distributed Systems Architect 2. E-commerce Business Architect 3. Senior DBA. Please provide technical recommendations from each perspective.
Clear Task Requirements
Provide specific performance metrics and technical requirements to guide more targeted responses.
Example:
Design a system that can handle 100,000 transactions per second, ensures eventual data consistency, and has a recovery time of less than 30 seconds.
Domain Knowledge Activation
Mention specific domain terminology and concepts to activate the model's expertise in relevant areas.
Example:
Which distributed consistency protocols and caching strategies would you consider to ensure data consistency while maximizing system throughput?
Effectiveness Comparison
❌ Ineffective Prompt
How to design a high-concurrency, highly available system?
✅ Effective Prompt
Assume you are a team of experts consisting of: 1. Distributed Systems Architect 2. E-commerce Business Architect 3. Senior DBA. Please provide 5 technical recommendations from each perspective and design a combined solution that can handle 100,000 transactions per second, ensures eventual data consistency, and has a recovery time of less than 30 seconds.
FAQs
Here are some of the most frequently asked questions.